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| Systems & Control Letters | |
|---|---|
| Title | Systems & Control Letters |
| Discipline | Control theory |
| Abbreviation | SCL |
| Publisher | Elsevier |
| Country | Netherlands |
| Frequency | Monthly |
| History | 1981–present |
| Issn | 0167-6911 |
Systems & Control Letters
Systems & Control Letters is a peer-reviewed scientific journal focusing on control theory and control engineering. It publishes short communications and technical letters on control systems, estimation, optimization, and networked control, serving researchers across academia and industry. The journal connects communities active around institutions such as Massachusetts Institute of Technology, Stanford University, California Institute of Technology, University of Cambridge, and ETH Zurich, and aligns with societies including Institute of Electrical and Electronics Engineers, International Federation of Automatic Control, and Royal Society.
Founded in 1981, the journal emerged amid developments led by researchers from Princeton University, Harvard University, University of California, Berkeley, University of Michigan, and Imperial College London. Early contributors included scholars associated with Bell Labs, Rutherford Appleton Laboratory, and Los Alamos National Laboratory. The period saw parallel growth in venues such as IEEE Transactions on Automatic Control, Automatica, and Journal of Optimization Theory and Applications. Editorial stewardship over time involved editors with ties to University of Oxford, Technical University of Munich, National University of Singapore, Tsinghua University, and University of Tokyo. Milestones include expansions in the 1990s concurrent with work at Sandia National Laboratories, Lawrence Livermore National Laboratory, and collaborations with NASA, European Space Agency, and JAXA.
The journal emphasizes concise reports on linear systems, nonlinear control, robust control, adaptive control, stochastic systems, and networked control problems studied at centers like Carnegie Mellon University, Columbia University, University of California, San Diego, McGill University, and Seoul National University. It often features results involving tools from researchers at Courant Institute of Mathematical Sciences, Weizmann Institute of Science, Max Planck Institute for Intelligent Systems, Centre National de la Recherche Scientifique, and Instituto Tecnológico de Buenos Aires. Typical topics intersect with work by authors from Tokyo Institute of Technology, KTH Royal Institute of Technology, Delft University of Technology, Politecnico di Milano, and Ecole Polytechnique Fédérale de Lausanne.
Published by Elsevier, the editorial board has included editors affiliated with University of Texas at Austin, University of Illinois Urbana-Champaign, Georgia Institute of Technology, Peking University, and Indian Institute of Science. Manuscripts undergo peer review with handling editors drawn from University of Sydney, Monash University, University of British Columbia, Aalto University, and Technion – Israel Institute of Technology. The journal operates alongside editorial policies reflecting practices at Nature Publishing Group, Springer Verlag, Wiley-Blackwell, and Cambridge University Press.
The journal is indexed in databases and services that also cover venues like Scopus, Web of Science, MathSciNet, Inspec, and EBSCOhost. Coverage aligns with indexing norms found for Google Scholar, CrossRef, Zentralblatt MATH, and ProQuest. Citation tracking frequently references works catalogued in WorldCat, ORCID, and repository networks linked to arXiv and institutional repositories at Cornell University and Microsoft Research.
Notable short communications published have influenced topics pursued by researchers at Rutgers University, Delft University, University of Minnesota, Brown University, and University of Waterloo. Articles have been cited by work from groups at Yale University, Princeton Plasma Physics Laboratory, Bell Labs Lucent Technologies, Hitachi, and Siemens. Influential papers have informed developments at Bosch, Toyota Research Institute, Ford Motor Company, General Motors Research Laboratories, and aerospace projects at Boeing, Airbus, and Lockheed Martin. The journal's concise format has enabled rapid dissemination of results later extended in journals such as IEEE Transactions on Control Systems Technology, Journal of Dynamic Systems, Measurement, and Control, and SIAM Journal on Control and Optimization.
The journal is recognized among control communities alongside Automatica, IEEE Control Systems Magazine, IET Control Theory & Applications, and Control Engineering Practice. It has shaped curricula at institutions such as University of California, Los Angeles, University of Pennsylvania, Duke University, Nanyang Technological University, and University of Hong Kong. Researchers affiliated with Samsung Research, Intel Labs, Google Research, DeepMind, and Facebook AI Research have cited its contributions in work on autonomous systems, robotics, and machine learning control interfaces. The journal's reputation is reflected in citations appearing in award-winning research recognized by prizes like the IEEE Control Systems Award, John R. Ragazzini Education Award, and honors from INFORMS.
Category:Control theory journals